Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Shuhui Gong"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 134, Iss , Pp 104163- (2024)
Understanding spatial interactions in urban environments has become critical in the context of spatio-temporal big data. However, Spatial–temporal big data often exhibit non-uniformity, necessitating the imputation of spatial interaction relationsh
Externí odkaz:
https://doaj.org/article/cb787996af964b7eb6626ebae10d7ca3
Autor:
Changjian Liu, Shuhui Gong, Hui Su, Jianwei Chen, Honglei Guo, Jifeng He, Changfeng Jing, Yu Liu
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
With urbanisation and population growth, understanding spatial interactions in cities is increasingly vital for urban management. In recent decades, spatial interactions could be predicted accurately with the support of large GPS data, but anonymous
Externí odkaz:
https://doaj.org/article/04a51a5ea62d40a1ab5c0e443ba9147d
Autor:
Shuhui Gong, Jialong Liu, Yuchen Yang, Jingyi Cai, Gaoran Xu, Rui Cao, Changfeng Jing, Yu Liu
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTSpatial interaction research is particularly important for geographical analyses, as it plays a crucial role in extracting travel patterns. However, previous studies on spatial interactions have not adequately considered regional population v
Externí odkaz:
https://doaj.org/article/cd827db2257f45b5bb24a1947ec922b3
Autor:
Tianqiao Zhang, Ye Tian, Yanliang Yin, Weige Sun, Limei Tang, Ruoliang Tang, Yichao Tian, Shuhui Gong, Suzhai Tian
Publikováno v:
Heliyon, Vol 10, Iss 2, Pp e24514- (2024)
Purpose: Heavy biomechanical loadings at workplaces may lead to high risks of work-related musculoskeletal disorders. This study aimed to explore the efficacy of an Omaha System-based remote ergonomic intervention program on self-reported work-relate
Externí odkaz:
https://doaj.org/article/21d4b06c57d04904aeed6cc369ac050a
Autor:
Shuhui Gong, Xiangrui Dong, Kaiqi Wang, Bingli Lei, Zizhao Jia, Jiaxin Qin, Chris Roadknight, Yu Liu, Rui Cao
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 122, Iss , Pp 103368- (2023)
Human motivations are an important factor in influencing human movement. However, most existing studies on passenger travel demand prediction focus on external characteristics of movement, but neglect the influence of activities and the motivations b
Externí odkaz:
https://doaj.org/article/4d6c866ba8f64985a661da91df56401b
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 118, Iss , Pp 103290- (2023)
The prediction of parking occupancy is of great importance to urban planning. As the number of cars increases and parking resources become limited, the lack of parking supply has become a challenge for urban design. Previous works ignore the correlat
Externí odkaz:
https://doaj.org/article/94c41de9f6ac4fd989f8671148542ac9
Publikováno v:
PLoS ONE, Vol 18, Iss 9, p e0288935 (2023)
BackgroundAccurately predicting mobile network traffic can help mobile network operators allocate resources more rationally and can facilitate stable and fast network services to users. However, due to burstiness and uncertainty, it is difficult to a
Externí odkaz:
https://doaj.org/article/cfe862056266495bac12f6871dce0f18
Autor:
Ruibin Bai, Xinan Chen, Zhi-Long Chen, Tianxiang Cui, Shuhui Gong, Wentao He, Xiaoping Jiang, Huan Jin, Jiahuan Jin, Graham Kendall, Jiawei Li, Zheng Lu, Jianfeng Ren, Paul Weng, Ning Xue, Huayan Zhang
Publikováno v:
International Journal of Production Research. 61:4-30
The Vehicle Routing Problem (VRP) is one of the most intensively studied combinatorial optimisation problems for which numerous models and algorithms have been proposed. To tackle the complexities, uncertainties and dynamics involved in real-world VR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd82d9a836b44c43049fcb43e379d960
https://doi.org/10.1080/00207543.2021.2013566
https://doi.org/10.1080/00207543.2021.2013566
Publikováno v:
2022 7th International Conference on Big Data Analytics (ICBDA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e93f4209cb0a4120bd0fc6514674c663
https://doi.org/10.1109/icbda55095.2022.9760332
https://doi.org/10.1109/icbda55095.2022.9760332
Publikováno v:
Gong, S, Cartlidge, J, Bai, R, Yue, Y, Li, Q & Qiu, G 2020, ' Geographical and Temporal Huff Model Calibration using Taxi Trajectory Data ', GeoInformatica . https://doi.org/10.1007/s10707-019-00390-x
The Huff model is designed to estimate the probability of shopping centre patronage based on a shopping centre's attractiveness and the cost of a customer's travel. In this paper, we attempt to discover some general shopping trends by calibrating the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d997ff774df82fdc3d22c214550367a
https://doi.org/10.1007/s10707-019-00390-x
https://doi.org/10.1007/s10707-019-00390-x